Defining Total Health Status
Measuring a Total Health Status:
Health status refers to an individual’s or population’s overall level of health, taking into account various factors such as life expectancy, amount of disability, and levels of disease risk factors. An individual’s health status is an overall evaluation of their degree of wellbeing or illness with a number of indicators, including quality of life and functionality. Within our product, these biosensor will be used to monitor and evaluate various aspects of health within the body.
The MetaView and Overall Health Status:
At the core of MetaView’s mission is the ability to measure, track, and provide real-time feedback on an individual’s metabolic health. While most people are familiar with the concept of metabolism, it is so much more complex and important than the mere speed at which the body burns calories. Metabolic health relates to the day-to-day range of biochemical processes that regulate the buildup, maintenance, and breakdown of organic material within the human body. Therefore, an individual’s metabolism incorporates the function of every single cell within the human body. Proper cell function results in proper endocrine function, which produces homeostasis, which ultimately increases metabolic efficiency. As such, promoting cellular function through physical activity, appropriate rest and recovery, and a balanced diet is crucial to improving overall health.
The ability to measure and track changes in one’s own metabolism, allows for a more systemic understanding of an individual’s health status as well as any changes in risk. Metabolic syndrome, which affects one in six Americans, results from imbalances caused by excess fat or increases in blood pressure, blood sugar, or cholesterol. While not a disease in itself, individuals with metabolic syndrome are at higher risk of serious health issues, including heart attacks, diabetes, and strokes. While the MetaView cannot specifically identify, prevent, or predict these illnesses, it works in conjunction with your genetic background to provide the most accurate risk-factor report possible. The primary way it achieves this goal is through the measure of individual cell efficiency in addition to simple insulin monitoring.